This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data.
The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
Daftar Isi
Introduction.- Problem Definition.- Algorithms.- Extensions of the Problem.- Research Opportunities.- Open-Source Implementations.- Conclusion.
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Bahasa Inggris ● Format PDF ● Halaman 337 ● ISBN 9783030049218 ● Ukuran file 13.0 MB ● Editor Philippe Fournier-Viger & Jerry Chun-Wei Lin ● Penerbit Springer International Publishing ● Kota Cham ● Negara CH ● Diterbitkan 2019 ● Diunduh 24 bulan ● Mata uang EUR ● ID 6820661 ● Perlindungan salinan DRM sosial